How Does Machine Learning Use In Industrial Automation?

How Does Machine Learning Use In Industrial Automation?

Business growth and gaining a competitive edge is the need of the hour. Many companies are now relying on advanced technologies that can help them in enhancing the efficiency of their business process. One such technology that is being widely adopted is Machine learning. Basically, it incorporates the study of algorithms and based on the available data building models, which can give the right output. Further, it also includes computation statistics and mathematical optimization. The objective of these tools and methods is to prepare a model based on sample inputs. To make this happen seamlessly, most of the industries are hiring machine learning experts who are proficient in using these concepts. So, if you, too, are willing to make a career in Machine Learning and its application, there is no better time than today.

Use of Machine Learning in Industrial Automation –

Predictive Maintenance- A seamless product manufacturing is imperative for any manufacturing industry. Predicting the disruptions in the product lines in advance helps in saving a lot of time and money, which otherwise goes in resolving the aftermaths. Knowing about disruption to the production in advance helps the manufacturer in scheduling the downtime at the right time and eliminate the unscheduled downtime. The latter impacts the predicted margin adversely, which also affects the supply chain and causes the carrying of excess stock. As per A PwC study, “Digital Factories 2020: Shaping the Future of Manufacturing,” The use of Machine Learning will be increasing in the times to come by 38%. Hence, going for Machine Learning certification is the best decision that you can make.

Model Optimization- Another area of application of Machine Learning is in the field of model optimization. We know that controllers drive most of the industrial processes. Whether it is the PID controller, to MPC techniques, to feed-forward models, etc. Thes controllers have to be manually or automatically parameterizing via auto-identification techniques. Manual parameterization leads to an error or takes time, but with Machine Learning this problem can be resolved by using reinforcement learning techniques

IT/OT Convergence- Another area of application of Machine Learning, is the modification of various business models that are being used in the manufacturing company.

Let’s understand how it will be used; lets say that the computer network is co-located with operation sensors on the production machinery. This will help in data collection, and it is sent to the data warehouse. Here this information is used for Machine Learning purposes.

These are some of the areas of application of machine learning in the field of industrial automation. In simple words, this technique will be used to create an automated process that is driven by data that is collected. The algorithms in Machine Learning are designed in such a way that it helps in ensuring that the system works efficiently.

What’s next?

The wider scope of ML also opens the gateway of job opportunity for many, and if you too are looking for this, then Global Tech Council is the right platform for you to learn about ML. Global Tech Council renders the Machine Learning online course is an industry-recognized. After machine learning certification, you will become a certified ML expert having a huge scope of growth.